Results 101 to 110 of about 912,950 (301)

Determination of the Rate of Penetration by Robust Machine Learning Algorithms Based on Drilling Parameters. [PDF]

ACS Omega, 2023
Alavi Nezhad Khalil Abad SV, Hazbeh O, Rajabi M, Tabasi S, Lajmorak S, Ghorbani H, Radwan AE, Mudabbir M.   +7 more
europepmc   +1 more source

Foreign bank penetration, resource allocation and economic growth: evidence from emerging economies [PDF]

This paper examines the implications of foreign bank penetration on economic growth from the perspective of resource allocation in host countries. We use aggregate banking data, constructed from bank-level balance sheets and income statement information ...
Jeon, Bang Nam, Luca, Alina, Wu, Ji
core   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Desiccation of a clay film: Cracking versus peeling

, 2008
Cracking and peeling of a layer of clay on desiccation has been simulated using a spring model. A vertical section through the layer with finite thickness is represented by a rectangular array of nodes connected by linear springs on a square lattice. The
Blaudeck, Peter, Dutta, Tapati, Hoffmann, K. H., Prehl, Janett, Sadhukhan, Supti, Tarafdar, Sujata   +5 more
core   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

ACCURATE PREDICTION OF DRILL BIT PENETRATION RATE IN ROCK USING SUPERVISED MACHINE LEARNING TECHNIQUES BASE ON LABORATORY TEST DATA

Rudarsko-geološko-naftni Zbornik
Knowing the rate of penetration of a drill bit in rocks is among the most important parameters in their behaviour measurement. However, the direct measurement of ROP in rocks is a high-cost and time-intensive process.
Shahrokh Khosravimanesh, Akbar Esmaeilzadeh, Masoud Akhyani, Reza Mikaeil, Mojtaba Mokhtarian Asl   +4 more
doaj   +1 more source

A Study on Factors Affecting Airborne LiDAR Penetration

Terrestrial, Atmospheric and Oceanic Sciences, 2015
This study uses data from different periods, areas and parameters of airborne LiDAR (light detection and ranging) surveys to understand the factors that influence airborne LiDAR penetration rate.
Wei-Chen Hsu, Peter Tian-Yuan Shih, Hung-Cheng Chang, and Jin-King Liu   +3 more
doaj   +1 more source

Real-time rate of penetration prediction for motorized bottom hole assembly using machine learning methods. [PDF]

Sci Rep, 2023
Shokry A, Elkatatny S, Abdulraheem A.
europepmc   +1 more source

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Molecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

An Advanced Long Short-Term Memory (LSTM) Neural Network Method for Predicting Rate of Penetration (ROP). [PDF]

ACS Omega, 2023
Ji H, Lou Y, Cheng S, Xie Z, Zhu L.
europepmc   +1 more source